Design, Prototyping, and Programming of a Bricklaying Robot
Bibliographic record
Abstract
This paper presents the development of a Bricklaying Robot capable of building entire walls. This project was motivated by opportunity of automation in construction, which remains costly and inefficient. Several studies have described specialized robot for masonry works, most of them incorporating the human arm concept that requires complex programming and low productivity. In order to improve this model, an innovative concept of a short arm assembled into a lift platform was introduced in this paper. The robot was modeled in Solidworks®, followed by motion study and dynamic analysis to optimize the model. A prototype in 1/4 scale was built to demonstrate its feasibility, detecting and correcting flaws. The prototype was tested by programming servo motors using Arduino UNO hardware and C ++ code. Finally, robot kinematics was analyzed in a construction site scenario. Concordance between the virtual simulation and the experimental prototype results demonstrated the functionality and effectiveness of the proposed design. The invention of this Bricklaying Robot will represent a technological advancement in developing new mechanisms and codes, which may be responsible for increasing productivity and reducing risks of masonry construction. Future analysis of global bricklaying market might be conducted to prove its commercial viability. Cet article présente le développement d’un robot de maçonnerie capable de construire des murs entiers. Le projet est motivé par une grande possibilité pour l’automatisation dans le bâtiment, un domaine qui reste malsain, coûteux et inefficace. Plusieurs recherches discutent des robots spécialisés pour les travaux de maçonnerie ; la plupart de ces robots utilisent le modèle du bras humain, une conception qui nécessite la programmation complexe et présente une perte de productivité. Cet article a pour but d’améliorer le modèle courant en explorant une nouvelle conception d’un bras court, assemblé comme une plate-forme élévatrice. Ce robot a été conçu en Solidsorks®, et une étude de mouvement et une analyse dynamique ont été menées pour optimiser le modèle. Un prototype à l’échelle 1:4 a été conçu pour démontrer la faisabilité du robot, tout en détectant et corrigeant ses défauts. Le prototype a été évalué par la programmation des servomoteurs, en utilisant du matériel informatique d’Arduino UNO et le langage de programmation C ++. Finalement, la cinématique du robot a été analysée en un scénario de chantier de construction. La fonctionnalité et l’efficacité de la conception proposée ont été démontrées par la concordance entre la simulation virtuelle et les résultats du prototype expérimental. L’invention de ce robot de maçonnerie constituera une avance technologique dans l’étude et le développement de nouveaux mécanismes et des codes informatiques, qui permettront d’améliorer la productivité et réduire les risques de maçonnerie. Une analyse de marché mondial de maçonnerie peut être menée à l’avenir pour vérifier la viabilité commerciale du robot.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".